The contributor for this chapter is Brian Dalessandro. Brian works at Media6Degrees as a VP of data science, and he’s active in the research community. He’s also served as cochair of the KDD competition. M6D (also known as Media 6 Degrees) is a startup in New York City in the online advertising space. Figure 5-1 shows Brian’s data science profile—his y-axis is scaled from Clown to Rockstar.
Brian came to talk to the class about logistic regression and evaluation, but he started out with two thought experiments.
How would data science differ if we had a “grand unified theory of everything”? Take this to mean a symbolic explanation of how the world works. This one question raises a bunch of other questions:
Is it just accuracy? Or more generally, how much we imagine can be explained? Is it because we predict human behavior, which can be affected by our predictions, creating a feedback loop?
It might be useful to think of the sciences as a continuum, ...